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ORCIDWenqi Li 0001
Person information
- affiliation: NVIDIA Corp, Cambridge, UK
Other persons with the same name
- Wenqi Li — disambiguation page
- Wenqi Li 0002
![[0000-0001-5836-2897]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5836-2897")
— Alibaba Group, Beijing, China - Wenqi Li 0003 — Southwest Petroleum University, Chengdu, China
- Wenqi Li 0004 — Jilin University, Changchun, China
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Journal Articles
- 2023
[j17]Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. IEEE Data Eng. Bull. 46(1): 170-184 (2023)- [j16]Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth:
Do Gradient Inversion Attacks Make Federated Learning Unsafe? IEEE Trans. Medical Imaging 42(7): 2044-2056 (2023) - 2022
- [j15]Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, Ramon Sánchez-Jacob, Jonathan Zember, Jose Molto, Wenqi Li, Sheng Xu, Baris Turkbey, Evrim Turkbey, Dong Yang, Ahmed Harouni, Nicola Rieke, Shishuai Hu, Fabian Isensee, Claire Tang, Qinji Yu, Jan Sölter, Tong Zheng, Vitali Liauchuk, Ziqi Zhou, Jan Hendrik Moltz, Bruno Oliveira, Yong Xia, Klaus H. Maier-Hein, Qikai Li, Andreas Husch, Luyang Zhang, Vassili Kovalev, Li Kang, Alessa Hering, João L. Vilaça, Mona Flores, Daguang Xu, Bradford J. Wood, Marius George Linguraru:
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. Medical Image Anal. 82: 102605 (2022) - 2021
- [j14]Reuben Dorent, Thomas C. Booth, Wenqi Li, Carole H. Sudre, Sina Kafiabadi, Manuel Jorge Cardoso, Sébastien Ourselin, Tom Vercauteren:
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets. Medical Image Anal. 67: 101862 (2021) - [j13]Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu:
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. Medical Image Anal. 70: 101992 (2021) - 2020
- [j12]Michael Ebner, Guotai Wang, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane, Andrew Melbourne, Tom Doel, Steven Dymarkowski, Paolo De Coppi, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI. NeuroImage 206 (2020) - [j11]Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso:
The future of digital health with federated learning. npj Digit. Medicine 3 (2020) - 2019
- [j10]Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation. Frontiers Comput. Neurosci. 13: 56 (2019) - [j9]Guotai Wang, Wenqi Li, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks. Neurocomputing 338: 34-45 (2019) - [j8]Guotai Wang, Maria A. Zuluaga, Wenqi Li, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1559-1572 (2019) - 2018
- [j7]Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert J. Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Marc Modat, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren:
NiftyNet: a deep-learning platform for medical imaging. Comput. Methods Programs Biomed. 158: 113-122 (2018) - [j6]Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami, Ester Bonmati, Guotai Wang, Steven Bandula, Caroline M. Moore, Mark Emberton, Sébastien Ourselin, J. Alison Noble, Dean C. Barratt, Tom Vercauteren:
Weakly-supervised convolutional neural networks for multimodal image registration. Medical Image Anal. 49: 1-13 (2018) - [j5]Siyamalan Manivannan, Wenqi Li, Jianguo Zhang, Emanuele Trucco, Stephen J. McKenna:
Structure Prediction for Gland Segmentation With Hand-Crafted and Deep Convolutional Features. IEEE Trans. Medical Imaging 37(1): 210-221 (2018) - [j4]Guotai Wang, Wenqi Li, Maria A. Zuluaga, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning. IEEE Trans. Medical Imaging 37(7): 1562-1573 (2018) - 2017
- [j3]Jingjing Zhang, Jianguo Zhang, Maria Coats, Wenqi Li, Frank A. Carey, Stephen J. McKenna:
Multi-scale analysis of the surface morphology of colorectal polyps from optical tomography. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(5): 318-328 (2017) - 2016
- [j2]Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens. Pattern Recognit. 51: 12-26 (2016) - 2015
- [j1]Wenqi Li, Maria Coats, Jianguo Zhang, Stephen J. McKenna:
Discriminating dysplasia: Optical tomographic texture analysis of colorectal polyps. Medical Image Anal. 26(1): 57-69 (2015)
Conference and Workshop Papers
- 2024
- [c35]Mohammad Zalbagi Darestani, Vishwesh Nath, Wenqi Li, Yufan He, Holger R. Roth, Ziyue Xu, Daguang Xu, Reinhard Heckel, Can Zhao:
IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction. WACV 2024: 7640-7649 - 2023
- [c34]Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu:
Fair Federated Medical Image Segmentation via Client Contribution Estimation. CVPR 2023: 16302-16311 - [c33]Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth:
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. ICCV 2023: 5180-5189 - [c32]Dong Yang, Ziyue Xu, Yufan He, Vishwesh Nath, Wenqi Li, Andriy Myronenko, Ali Hatamizadeh, Can Zhao, Holger R. Roth, Daguang Xu:
DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation. MICCAI (3) 2023: 747-756 - 2022
- [c31]Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov:
GradViT: Gradient Inversion of Vision Transformers. CVPR 2022: 10011-10020 - [c30]Yucheng Tang, Dong Yang, Wenqi Li, Holger R. Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh:
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. CVPR 2022: 20698-20708 - [c29]An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu:
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CVPR 2022: 20834-20843 - [c28]Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth:
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. ECCV (21) 2022: 437-455 - [c27]Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu:
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation. DeCaF/FAIR@MICCAI 2022: 47-57 - 2021
- [c26]Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. MICCAI (3) 2021: 357-366 - 2020
- [c25]Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer:
Federated Learning for Breast Density Classification: A Real-World Implementation. DART/DCL@MICCAI 2020: 181-191 - [c24]Jingkun Chen, Wenqi Li, Hongwei Li, Jianguo Zhang:
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation. MICCAI (4) 2020: 187-196 - [c23]Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu:
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. MICCAI (4) 2020: 374-384 - [c22]Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu:
NeurReg: Neural Registration and Its Application to Image Segmentation. WACV 2020: 3606-3615 - 2019
- [c21]Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng:
Privacy-Preserving Federated Brain Tumour Segmentation. MLMI@MICCAI 2019: 133-141 - [c20]Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Shaoting Zhang, Sébastien Ourselin, Tom Vercauteren:
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. MICCAI (2) 2019: 264-272 - [c19]Reuben Dorent, Wenqi Li, Jinendra Ekanayake, Sébastien Ourselin, Tom Vercauteren:
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets. MIDL 2019: 164-174 - 2018
- [c18]Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso:
Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning. MICCAI (4) 2018: 3-11 - [c17]Kerstin Kläser, Pawel Markiewicz, Marta Bianca Maria Ranzini, Wenqi Li, Marc Modat, Brian F. Hutton, David Atkinson, Kris Thielemans, M. Jorge Cardoso, Sébastien Ourselin:
Deep Boosted Regression for MR to CT Synthesis. SASHIMI@MICCAI 2018: 61-70 - [c16]Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation Using Convolutional Neural Networks with Test-Time Augmentation. BrainLes@MICCAI (2) 2018: 61-72 - [c15]Michael Ebner, Guotai Wang, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane, Andrew Melbourne, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI. MICCAI (1) 2018: 313-320 - 2017
- [c14]Wenqi Li, Guotai Wang, Lucas Fidon, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren:
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task. IPMI 2017: 348-360 - [c13]Luis C. García-Peraza-Herrera, Wenqi Li, Lucas Fidon, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel B. Vander Poorten, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
ToolNet: Holistically-nested real-time segmentation of robotic surgical tools. IROS 2017: 5717-5722 - [c12]Lucas Fidon, Wenqi Li, Luis C. García-Peraza-Herrera, Jinendra Ekanayake, Neil Kitchen, Sébastien Ourselin, Tom Vercauteren:
Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks. BrainLes@MICCAI 2017: 64-76 - [c11]Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks. BrainLes@MICCAI 2017: 178-190 - [c10]Carole H. Sudre, Wenqi Li, Tom Vercauteren, Sébastien Ourselin, M. Jorge Cardoso:
Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations. DLMIA/ML-CDS@MICCAI 2017: 240-248 - [c9]Lucas Fidon, Wenqi Li, Luis C. García-Peraza-Herrera, Jinendra Ekanayake, Neil Kitchen, Sébastien Ourselin, Tom Vercauteren:
Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation. MICCAI (3) 2017: 285-293 - 2016
- [c8]Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Jianguo Zhang, Emanuele Trucco, Stephen J. McKenna:
Local structure prediction for gland segmentation. ISBI 2016: 799-802 - [c7]Wenqi Li, Siyamalan Manivannan, Shazia Akbar, Jianguo Zhang, Emanuele Trucco, Stephen J. McKenna:
Gland segmentation in colon histology images using hand-crafted features and convolutional neural networks. ISBI 2016: 1405-1408 - [c6]Luis C. García-Peraza-Herrera, Wenqi Li, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel B. Vander Poorten, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep Learning and Tracking. CARE@MICCAI 2016: 84-95 - 2015
- [c5]Wenqi Li, Jianguo Zhang, Stephen J. McKenna:
Multiple Instance Cancer Detection by Boosting Regularised Trees. MICCAI (1) 2015: 645-652 - 2014
- [c4]Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
HEp-2 Cell Classification Using Multi-resolution Local Patterns and Ensemble SVMs. I3A@ICPR 2014: 37-40 - [c3]Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
HEp-2 Specimen Classification Using Multi-resolution Local Patterns and SVM. I3A@ICPR 2014: 41-44 - 2013
- [c2]Wenqi Li, Jianguo Zhang, Stephen J. McKenna, Maria Coats, Frank A. Carey:
Classification of colorectal polyp regions in optical projection tomography. ISBI 2013: 736-739 - [c1]Wenqi Li, Jianguo Zhang, Wei-Shi Zheng, Maria Coats, Frank A. Carey, Stephen J. McKenna:
Learning from Partially Annotated OPT Images by Contextual Relevance Ranking. MICCAI (3) 2013: 429-436
Editorship
- 2020
- [e1]Shadi Albarqouni, Spyridon Bakas, Konstantinos Kamnitsas, M. Jorge Cardoso, Bennett A. Landman, Wenqi Li, Fausto Milletari, Nicola Rieke, Holger Roth, Daguang Xu, Ziyue Xu:
Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning - Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12444, Springer 2020, ISBN 978-3-030-60547-6 [contents]
Informal and Other Publications
- 2023
- [i42]Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth:
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. CoRR abs/2303.16270 (2023) - [i41]Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu:
Fair Federated Medical Image Segmentation via Client Contribution Estimation. CoRR abs/2303.16520 (2023) - [i40]Jeya Maria Jose Valanarasu, Yucheng Tang, Dong Yang, Ziyue Xu, Can Zhao, Wenqi Li, Vishal M. Patel, Bennett A. Landman, Daguang Xu, Yufan He, Vishwesh Nath:
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training. CoRR abs/2307.16896 (2023) - 2022
- [i39]Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth:
Do Gradient Inversion Attacks Make Federated Learning Unsafe? CoRR abs/2202.06924 (2022) - [i38]Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth:
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. CoRR abs/2203.06338 (2022) - [i37]An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu:
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CoRR abs/2203.10144 (2022) - [i36]Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov:
GradViT: Gradient Inversion of Vision Transformers. CoRR abs/2203.11894 (2022) - [i35]Andres Diaz-Pinto, Sachidanand Alle, Alvin Ihsani, Muhammad Asad, Vishwesh Nath, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso:
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images. CoRR abs/2203.12362 (2022) - [i34]Ali Hatamizadeh, Ziyue Xu, Dong Yang, Wenqi Li, Holger Roth, Daguang Xu:
UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation. CoRR abs/2204.00631 (2022) - [i33]Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu:
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation. CoRR abs/2208.10553 (2022) - [i32]Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. CoRR abs/2210.13291 (2022) - [i31]M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng:
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022) - 2021
- [i30]Jingkun Chen, Wenqi Li, Hongwei Li, Jianguo Zhang:
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation. CoRR abs/2101.01513 (2021) - [i29]Yingda Xia, Dong Yang, Wenqi Li, Andriy Myronenko, Daguang Xu, Hirofumi Obinata, Hitoshi Mori, Peng An, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Anna Ierardi, Alan L. Yuille, Holger Roth:
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation. CoRR abs/2104.10195 (2021) - [i28]Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. CoRR abs/2107.08111 (2021) - [i27]Yucheng Tang, Dong Yang, Wenqi Li, Holger Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh:
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. CoRR abs/2111.14791 (2021) - 2020
- [i26]Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso:
The Future of Digital Health with Federated Learning. CoRR abs/2003.08119 (2020) - [i25]Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu:
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. CoRR abs/2006.12575 (2020) - [i24]Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer:
Federated Learning for Breast Density Classification: A Real-World Implementation. CoRR abs/2009.01871 (2020) - [i23]Luis C. García-Peraza-Herrera, Wenqi Li, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel B. Vander Poorten, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
Real-Time Segmentation of Non-Rigid Surgical Tools based on Deep Learning and Tracking. CoRR abs/2009.03016 (2020) - [i22]Reuben Dorent, Thomas C. Booth, Wenqi Li, Carole H. Sudre, Sina Kafiabadi, Manuel Jorge Cardoso, Sébastien Ourselin, Tom Vercauteren:
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets. CoRR abs/2009.04009 (2020) - [i21]Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu:
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan. CoRR abs/2011.11750 (2020) - 2019
- [i20]Max Allan, Alexey Shvets, Thomas Kurmann, Zichen Zhang, Rahul Duggal, Yun-Hsuan Su, Nicola Rieke, Iro Laina, Niveditha Kalavakonda, Sebastian Bodenstedt, Luis C. García-Peraza, Wenqi Li, Vladimir Iglovikov, Huoling Luo, Jian Yang, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel, Mahdi Azizian:
2017 Robotic Instrument Segmentation Challenge. CoRR abs/1902.06426 (2019) - [i19]Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Sébastien Ourselin, Tom Vercauteren:
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. CoRR abs/1906.03906 (2019) - [i18]Reuben Dorent, Wenqi Li, Jinendra Ekanayake, Sébastien Ourselin, Tom Vercauteren:
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets. CoRR abs/1907.03327 (2019) - [i17]Wenqi Li, Fausto Milletari, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng:
Privacy-preserving Federated Brain Tumour Segmentation. CoRR abs/1910.00962 (2019) - [i16]Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu:
NeurReg: Neural Registration and Its Application to Image Segmentation. CoRR abs/1910.01763 (2019) - 2018
- [i15]Luis C. García-Peraza-Herrera, Martin Everson, Wenqi Li, Inmanol Luengo, Lorenz Berger, Omer F. Ahmad, Laurence B. Lovat, Hsiu-Po Wang, Wen-Lun Wang, Rehan J. Haidry, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia. CoRR abs/1805.00632 (2018) - [i14]Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso:
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning. CoRR abs/1806.06595 (2018) - [i13]Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami, Ester Bonmati, Guotai Wang, Steven Bandula, Caroline M. Moore, Mark Emberton, Sébastien Ourselin, J. Alison Noble, Dean C. Barratt, Tom Vercauteren:
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration. CoRR abs/1807.03361 (2018) - [i12]Guotai Wang, Wenqi Li, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks. CoRR abs/1807.07356 (2018) - [i11]Kerstin Kläser, Pawel Markiewicz, Marta Bianca Maria Ranzini, Wenqi Li, Marc Modat, Brian F. Hutton, David Atkinson, Kris Thielemans, M. Jorge Cardoso, Sébastien Ourselin:
Deep Boosted Regression for MR to CT Synthesis. CoRR abs/1808.07431 (2018) - [i10]Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation. CoRR abs/1810.07884 (2018) - 2017
- [i9]Lucas Fidon, Wenqi Li, Luis C. García-Peraza-Herrera, Jinendra Ekanayake, Neil Kitchen, Sébastien Ourselin, Tom Vercauteren:
Scalable multimodal convolutional networks for brain tumour segmentation. CoRR abs/1706.08124 (2017) - [i8]Luis C. García-Peraza-Herrera, Wenqi Li, Lucas Fidon, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel B. Vander Poorten, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
ToolNet: Holistically-Nested Real-Time Segmentation of Robotic Surgical Tools. CoRR abs/1706.08126 (2017) - [i7]Lucas Fidon, Wenqi Li, Luis C. García-Peraza-Herrera, Jinendra Ekanayake, Neil Kitchen, Sébastien Ourselin, Tom Vercauteren:
Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation using Holistic Convolutional Networks. CoRR abs/1707.00478 (2017) - [i6]Guotai Wang, Maria A. Zuluaga, Wenqi Li, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation. CoRR abs/1707.00652 (2017) - [i5]Wenqi Li, Guotai Wang, Lucas Fidon, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren:
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task. CoRR abs/1707.01992 (2017) - [i4]Carole H. Sudre, Wenqi Li, Tom Vercauteren, Sébastien Ourselin, M. Jorge Cardoso:
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations. CoRR abs/1707.03237 (2017) - [i3]Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks. CoRR abs/1709.00382 (2017) - [i2]Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert J. Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren:
NiftyNet: a deep-learning platform for medical imaging. CoRR abs/1709.03485 (2017) - [i1]Guotai Wang, Wenqi Li, Maria A. Zuluaga, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning. CoRR abs/1710.04043 (2017)
Coauthor Index
Manuel Jorge Cardoso
aka: M. Jorge Cardoso
aka: M. Jorge Cardoso
Luis C. García-Peraza-Herrera
aka: Luis C. García-Peraza
aka: Luis C. García-Peraza
Holger Roth
aka: Holger R. Roth
aka: Holger R. Roth
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